Home > Publications database > CFNO: Chebyshev Fourier Neural Operator for solving PDE's > print

001     1037596
005     20250203103232.0
037 _ _ |a FZJ-2025-00767
100 1 _ |a Lunet, Thibaut
|0 P:(DE-HGF)0
|b 0
245 _ _ |a CFNO: Chebyshev Fourier Neural Operator for solving PDE's
260 _ _ |c 2024
336 7 _ |a Software
|2 DCMI
336 7 _ |a Software
|b sware
|m sware
|0 PUB:(DE-HGF)33
|s 1737363079_851
|2 PUB:(DE-HGF)
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Computer Program
|0 6
|2 EndNote
336 7 _ |a OTHER
|2 ORCID
336 7 _ |a Software
|2 DataCite
520 _ _ |a Extension of the Fourier Neural Operators to PDE problems solved using pseudo-spectral (Chebyshev) space discretization methods.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5112
|c POF4-511
|f POF IV
|x 0
536 _ _ |a Inno4Scale - Innovative Algorithms for Applications on European Exascale Supercomputers (101118139)
|0 G:(EU-Grant)101118139
|c 101118139
|f HORIZON-EUROHPC-JU-2022-ALG-02
|x 1
588 _ _ |a Dataset connected to DataCite
700 1 _ |a John, Chelsea Maria
|0 P:(DE-Juel1)187395
|b 1
|u fzj
700 1 _ |a Götschel, Sebastian
|0 P:(DE-HGF)0
|b 2
856 4 _ |u https://github.com/Parallel-in-Time/cfno
909 C O |o oai:juser.fz-juelich.de:1037596
|p openaire
|p VDB
|p ec_fundedresources
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)187395
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5112
|x 0
914 1 _ |y 2024
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a sware
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21